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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
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characterize their electromagnetic performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of
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analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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micro and nano-technologies (characterization, simulation, modeling), as well as in the design and characterization of circuits, microsystems and systems. Located at the convergence of many sciences and
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simulation environments (e.g., CARLA). • Domain knowledge in ITS, traffic engineering, autonomous vehicles, robotics, or related areas. • Experience using cloud platforms for training and deploying AI models
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke